2019 Database Trends – SQL vs. NoSQL, Top Databases, Single vs. Multiple Database Use

Scalegrid

Wondering which databases are trending in 2019? Get the latest insights on MySQL , MongoDB , PostgreSQL , Redis , and many others to see which database management systems are most favored this year. SQL Databases. NoSQL Databases. NoSQL Database Use: 39.52%.

2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combinations & Top Reasons Used

Scalegrid

PostgreSQL is an open source relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. 2019 PostgreSQL Trends Report: Private vs. Public Cloud, Migrations, Database Combos & Top Reasons Used Click To Tweet.

Towards multiverse databases

The Morning Paper

Towards multiverse databases Marzoev et al., The central idea behind multiverse databases is to push the data access and privacy rules into the database itself. Such a design rules out an entire class of application errors, protecting private data from accidentally leaking.

Design Of A Modern Cache—Part Deux

High Scalability

This structure works surprisingly well for many important workloads like database, search, and analytics. This is a guest post by Benjamin Manes , who did engineery things for Google and is now doing engineery things as CTO of Vector.

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2019 Open Source Database Report: Top Databases, Public Cloud vs. On-Premise, Polyglot Persistence

Scalegrid

Ready to transition from a commercial database to open source, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy? Or, considering adding a new database to your application and want to see which combinations are most popular? Polyglot Persistence Trends : Number of Databases Used & Top Combinations. 2019 Top Databases Used.

Distributed Algorithms in NoSQL Databases

Highly Scalable

These developments gradually highlight a system of relevant database building blocks with proven practical efficiency. In this article I’m trying to provide more or less systematic description of techniques related to distributed operations in NoSQL databases.

Amazon Aurora ascendant: How we designed a cloud-native relational database

All Things Distributed

Relational databases have been around for a long time. The core technologies underpinning the major relational database management systems of today were developed in the 1980–1990s. Those fundamentals helped make relational databases immensely popular with users everywhere.

View-centric performance optimization for database-backed web applications

The Morning Paper

View-centric performance optimization for database-backed web applications Yang et al., Moreover, users like the resulting experience at least as much if not more than the original page designs. you are doing the count in the database, right?).

Microservices, events, and upside-down databases

O'Reilly Software

Data is all-important—vital for the continued success of our businesses—but has also been seen as a massive constraint in how we design and evolve our systems. All too often, the software wasn’t designed in a way that made it easy to ship.

IPA: invariant-preserving applications for weakly consistent replicated databases

The Morning Paper

IPA: invariant-preserving applications for weakly consistent replicated databases Balegas et al., For bonus points, revisit your application design so that more parts of it can be coordination free.

Tuning PostgreSQL Database Parameters to Optimize Performance

Percona

It has default settings for all of the database parameters. It is primarily the responsibility of the database administrator or developer to tune PostgreSQL according to their system’s workload. In this blog, we will establish basic guidelines for setting PostgreSQL database parameters to improve database performance according to workload. It is important to pay attention to performance when writing database queries.

PyMongo Tutorial: Testing MongoDB Failover in Your Python App

Scalegrid

It comes as no surprise that Python developers commonly leverage MongoDB hosting , the most popular NoSQL database , for their deployments due to its flexible nature and lack of schema requirements. It is a fairly mature driver that supports most of the common operations with the database, and you can check out this tutorial for an introduction to the PyMongo driver. It is also recommended that SSL connections be enabled to encrypt the client-database traffic.

Which Is the Best PostgreSQL GUI? 2019 Comparison

Scalegrid

PostgreSQL graphical user interface (GUI) tools help these open source database users to manage, manipulate, and visualize their data. PostgreSQL is the fourth most popular database management system in the world, and heavily used in all sizes of applications from small to large.

Organisational Fluidity in Digital Ecosystem Platform Design: Strategic Alliance Teams

Strategic Tech

If you’re among the thousands of organisations building a platform-powered digital ecosystem, you face serious organisation design challenges. Without an explicit organisation design strategy, you will over-commit resources to low priority initiatives and starve your big bets?—?the

Architecting App Logic for Scalability, Reuse, and Agility

DZone

App Logic for transactional systems enforces critical integrity for database web/mobile apps. rest api business rules app dev architecture & design business agility integration architectureArchitect your app logic!

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The top 5 reasons to run your own database benchmarks

HammerDB

This post addresses some of the opinions around database benchmarking and gives the top 5 reasons why industry standard benchmarking is important and should be an essential foundation of your database engineering strategy. So are standard database benchmarks meaningless?

How to design a RESTful API architecture from a human-language spec

O'Reilly Software

Despite being consumed directly by machines, APIs are made to satisfy the needs of human beings, so designing them should follow a user-centered process, but often it doesn’t. Continue reading How to design a RESTful API architecture from a human-language spec

Designing Schemaless, Uber Engineering’s Scalable Datastore Using MySQL

Uber Engineering

The making of Schemaless, Uber Engineering’s custom designed datastore using MySQL, which has allowed us to scale from 2014 to beyond. In Project Mezzanine we described … The post Designing Schemaless, Uber Engineering’s Scalable Datastore Using MySQL appeared first on Uber Engineering Blog. Architecture Data Database Infra Mezzanine MySQLBy Jakob Holdgaard Thomsen.

Amazon DynamoDB ? a Fast and Scalable NoSQL Database.

All Things Distributed

a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Today is a very exciting day as we release Amazon DynamoDB , a fast, highly reliable and cost-effective NoSQL database service designed for internet scale applications. DynamoDB is the result of 15 years of learning in the areas of large scale non-relational databases and cloud services. s business meant that many of these services needed more scalable database solutions.

Upcoming Webinar Tuesday, 7/31: Using MySQL for Distributed Database Architectures

Percona

Please join Percona’s CEO, Peter Zaitsev as he presents Using MySQL for Distributed Database Architectures on Tuesday, July 31st, 2018 at 7:00 AM PDT (UTC-7) / 10:00 AM EDT (UTC-4).

Clustered Index vs. Heap

SQL Shack

Development General database design Indexes PerformanceSummary There are few topics so widely misunderstood and that generates such frequent bad advice as that of the decision of how to index a table.

A one size fits all database doesn't fit anyone

All Things Distributed

A common question that I get is why do we offer so many database products? To do this, they need to be able to use multiple databases and data models within the same application. Seldom can one database fit the needs of multiple distinct use cases. The days of the one-size-fits-all monolithic database are behind us, and developers are now building highly distributed applications using a multitude of purpose-built databases. Purpose-built databases.

Should You Use ClickHouse as a Main Operational Database?

Percona

What if we use ClickHouse (which is a columnar analytical database) as our main datastore? Well, typically, an analytical database is not a replacement for a transactional or key/value datastore. how many messages was send for some time period and how much it cost) and a typical key/value queries like: “return 1 message by the message id” Using a columnar analytical database can be a big challenge here. At the same time, it was not originally designed that way.

Intro to Redis Cluster Sharding – Advantages, Limitations, Deploying & Client Connections

Scalegrid

This is something to be careful about when designing your data structures. Only Supports One Database. Unlike standalone databases, Redis Clusters support only one database (database 0), and the SELECT command isn’t allowed.

Consumer-driven Coupling: Patterns and Anti-patterns

Strategic Tech

Perhaps led by strong managers, they will fight vehemently for their work to be prioritised and software systems to be designed to their needs. On the frontend, the user researchers and design team were experimenting how to best lay the questions out for the simplest user experience.

Connecting MongoDB to Ruby with Self-Signed Certificates for SSL

Scalegrid

Our yml file: development: # Configure available database clients. Alternatively, you can define the following: # # Define the name of the default database that Mongoid can connect to. # (required). database: test # Provide the hosts the default client can connect to. The user's database roles. is :plain) auth_mech: :scram # The database or source to authenticate the user against.

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Embrace event-driven computing: Amazon expands DynamoDB with streams, cross-region replication, and database triggers

All Things Distributed

I am excited to share with you that today we are expanding DynamoDB with streams, cross-region replication, and database triggers. In traditional database architectures, database engines often run a small search engine or data warehouse engines on the same hardware as the database.

Job Openings in AWS - Senior Leader in Database Services - All.

All Things Distributed

Job Openings in AWS - Senior Leader in Database Services. This week it is an opening for senior leaders with AWS Database Services. AWS Database Services is responsible for setting the database strategy and delivering distributed structured storage services to our AWS customers. The ideal candidate will be someone who has built and ran large scale distributed systems and/or databases. Job Openings in AWS - Senior Leader in Database Services.

Testing the CP Subsystem with Jepsen

DZone

In addition to well-grounded designs and proven algorithms, reliability also requires a substantial amount of testing. testing test cases distributed databases jepsen cp subsystemAt Hazelcast we take reliability very seriously. With the new CP Subsystem module, Hazelcast has become the first and only IMDG that offers a linearizable distributed implementation of the Java concurrency primitives backed by the Raft consensus algorithm.

Java 100

MySQL High Availability Framework Explained – Part II: Semisynchronous Replication

Scalegrid

MySQL semisynchronous replication, by design, can fall back to asynchronous mode based on the slave acknowledgement timeout settings or based on the number of semisynchronous-capable slaves available at any point in time. The default design of the ScaleGrid HA framework is to avoid falling back to asynchronous mode. This is a conscious design decision we have made as the default behavior which is, of course, configurable based on the application requirements.

Scalable MicroService Architecture

VoltDB

But that fully self sufficient nature means that each of these services have their own end-to-end full stack of technology, including database. data-driven business logic stays close to the data, i.e. in the database. Application State Management and Data-Driven Decision Making.

N1QL Index Advisor: Improve Query Performance and Productivity

DZone

As application developers, your main focus is to design the most efficient queries for your application. You want to ensure the integrity of the data that your application pushes to the database, and construct the most efficient queries to retrieve the data needed for the application.

The Challenges and Traps of Architecting Sociotechnical Systems

Strategic Tech

Decoupling Streams of Work Our goal when designing systems is to maximise the speed of delivery and value of the work we deliver. If we design our capabilities naively and too fine-grained, global complexity will be greater.

Which is the Best MongoDB GUI? — 2019 Update

Scalegrid

In this article, we are going to compare 6 of the top MongoDB Graphical User Interfaces that help developers increase their productivity and manage their database. SQL Import/Export that supports major databases: Oracle, SQL Server, MySQL, and PostgreSQL.

How It Works: SQL Server Lock Partitioning

SQL Server According to Bob

The lock manager (LockMgr) is designed to track partitioned and non-partitioned locks. A handful of lock types (Database, Metadata, LOGIN_STATS, …) are eligible for lock partitioning. Only distinct changes require an exclusive database lock, for example a drop database.

Snowflake Performance Tuning: Top 5 Best Practices

DZone

How do you tune the Snowflake data warehouse when there are no indexes, and few options available to tune the database itself? Snowflake was designed for simplicity, with few performance tuning options.

From monitoring to software intelligence for Flask applications

Dynatrace

When comparing Django and Flask , developers like to highlight that Django provides an all-inclusive experience for developers: you get an admin panel, database interfaces, ORM, and directory structure for your applications and projects out of the box. Tracing database requests.

Using Triggers On Schemaless, Uber Engineering’s Datastore Using MySQL

Uber Engineering

This is the third installment of a three-part series on Schemaless; the first part is a design overview … The post Using Triggers On Schemaless, Uber Engineering’s Datastore Using MySQL appeared first on Uber Engineering Blog. Architecture Data Database Infra Mezzanine MySQLThe details and examples of Schemaless triggers, a key feature of the datastore that’s kept Uber Engineering scaling since October 2014.

The Architecture of Schemaless, Uber Engineering’s Trip Datastore Using MySQL

Uber Engineering

This is part two of a three- part series on Schemaless; part one is on designing Schemaless. Architecture Data Database Infra Mezzanine MySQLHow Uber’s infrastructure works with Schemaless, the datastore using MySQL that’s kept Uber Engineering scaling since October 2014. In Project Mezzanine: … The post The Architecture of Schemaless, Uber Engineering’s Trip Datastore Using MySQL appeared first on Uber Engineering Blog.

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and…

The Netflix TechBlog

You are designing a learning system to forecast Service Level Agreement (SLA) violations and would want to factor in all upstream dependencies and corresponding historical states. Design a flexible data model ? —?Represent

NoSQL Data Modeling Techniques

Highly Scalable

NoSQL databases are often compared by various non-functional criteria, such as scalability, performance, and consistency. At the same time, NoSQL data modeling is not so well studied and lacks the systematic theory found in relational databases. Document Databases: MongoDB, CouchDB.

Fostering a Web Performance Culture

José M. Pérez

UI/UX : There is usually a designer and/or UX person that sets the look & feel and information architecture. How would you architecture a non-trivial size web project (client, server, databases, caching layer)? Web Performance is not only about understanding what makes a site fast.

Tuning SQL Server Reporting Services

SQL Performance

Many database administrators find themselves having to support instances of SQL Server Reporting Services (SSRS), or at least the backend databases that are required for SSRS. The ReportServer database is encrypted and certain operations require restoring the symmetric key.